Job description
Position: Microsoft Fabric Data EngineerExperience: 3–6 years About the RoleWe are looking for a Microsoft Fabric Data Engineer to design, build, and manage enterprise data solutions. You’ll work with Fabric Lakehouses, Warehouses, and Pipelines to prepare data for analytics and AI workloads. You’ll collaborate with AI engineers, product managers, and business teams to ensure data is clean, secure, scalable, and ready to power intelligent applications. What You’ll Do Design and maintain Microsoft Fabric data architectureBuild ETL pipelines using Fabric, Synapse, or Azure Data FactoryTransform raw data into structured datasets for analytics and AI projectsOptimize data models and pipelines for performance, reliability, and costSupport AI engineers for RAG and LLM workloadsMonitor pipeline performance, ensure data quality and governanceDocument workflows and share knowledge with the team RequirementsWhat You NeedBachelor’s or Master’s in Computer Science, Data Engineering, or related field3–6 years in data engineering, analytics, or platform engineeringMicrosoft certifications: DP-600, AZ-204, DP-100Hands-on experience with:Microsoft Fabric (Lakehouse, Warehouse, Pipelines)SQL, Spark / PySparkAzure Data Factory or SynapseData modeling and pipeline optimizationUnderstanding of data governance, security, and compliance Nice to HaveExposure to AI workflows (RAG, semantic search)Experience with Dataverse, vector databases, or Azure Cognitive SearchPower BI or Power Platform experienceAgile/Scrum experiencePosition: Microsoft Fabric Data EngineerExperience: 3–6 years About the RoleWe are looking for a Microsoft Fabric Data Engineer to design, build, and manage enterprise data solutions. You’ll work with Fabric Lakehouses, Warehouses, and Pipelines to prepare data for analytics and AI workloads. You’ll collaborate with AI engineers, product managers, and business teams to ensure data is clean, secure, scalable, and ready to power intelligent applications. What You’ll Do Design and maintain Microsoft Fabric data architectureBuild ETL pipelines using Fabric, Synapse, or Azure Data FactoryTransform raw data into structured datasets for analytics and AI projectsOptimize data models and pipelines for performance, reliability, and costSupport AI engineers for RAG and LLM workloadsMonitor pipeline performance, ensure data quality and governanceDocument workflows and share knowledge with the teamPosition: Microsoft Fabric Data EngineerExperience: 3–6 years About the RoleWe are looking for a Microsoft Fabric Data Engineer to design, build, and manage enterprise data solutions. You’ll work with Fabric Lakehouses, Warehouses, and Pipelines to prepare data for analytics and AI workloads. You’ll collaborate with AI engineers, product managers, and business teams to ensure data is clean, secure, scalable, and ready to power intelligent applications. What You’ll Do Design and maintain Microsoft Fabric data architectureBuild ETL pipelines using Fabric, Synapse, or Azure Data FactoryTransform raw data into structured datasets for analytics and AI projectsOptimize data models and pipelines for performance, reliability, and costSupport AI engineers for RAG and LLM workloadsMonitor pipeline performance, ensure data quality and governanceDocument workflows and share knowledge with the teamPosition: Microsoft Fabric Data EngineerPosition: Microsoft Fabric Data EngineerExperience: 3–6 years
About the Role
About the RoleWe are looking for a Microsoft Fabric Data Engineer to design, build, and manage enterprise data solutions. You’ll work with Fabric Lakehouses, Warehouses, and Pipelines to prepare data for analytics and AI workloads.
You’ll collaborate with AI engineers, product managers, and business teams to ensure data is clean, secure, scalable, and ready to power intelligent applications.
What You’ll Do
What You’ll DoDesign and maintain Microsoft Fabric data architectureBuild ETL pipelines using Fabric, Synapse, or Azure Data FactoryTransform raw data into structured datasets for analytics and AI projectsOptimize data models and pipelines for performance, reliability, and costSupport AI engineers for RAG and LLM workloadsMonitor pipeline performance, ensure data quality and governanceDocument workflows and share knowledge with the team